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Benchmarking re-entry prediction uncertainties (Parallel a)
Thu, 02/21/2019 - 18:56

Start Date:
2015
Programme:
Discovery
End Date:
2017
Programme Reference:
14-608-a
Country:
The Netherlands
Contractor:
TU DELFT
Description:
The primary objective of the Benchmarking re-entry prediction uncertainties study is to fully exploit the informa- tion content of the GOCE observations and telemetry collected during its reentry phase for better understand- ing re-entry predictions in general and for GOCE in particular (ESA, 2015). Down to an altitude of 137 km, a rich data set of high-quality GPS, star tracker and also accelerometer observations were collected, be it that the latter were more and more saturated.
Application Domain:
Generic Technologies
Keywords:
Re-entry
GOCE
Executive summary: